z-logo
open-access-imgOpen Access
ARTIFICIAL NEURAL NETWORK APPROACH TO PREDICT LMS ACCEPTANCE OF VOCATIONAL SCHOOL STUDENTS
Author(s) -
Umut Birkan ÖZKAN,
Harun Çiğdem,
Tolga Erdoğan
Publication year - 2020
Publication title -
turkish online journal of distance education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 22
eISSN - 1309-4564
pISSN - 1302-6488
DOI - 10.17718/tojde.762045
Subject(s) - expectancy theory , psychology , vocational education , social influence , affect (linguistics) , unified theory of acceptance and use of technology , artificial neural network , mathematics education , applied psychology , social psychology , computer science , machine learning , pedagogy , communication

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom